Veillonella rogosae (DSM 18960, CCUG 54233, KCTC 5967)

Name: Veillonella rogosae (DSM 18960, CCUG 54233, KCTC 5967)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 17178

Type strain

Strain Designation CF100

Culture col. no. DSM 18960 CCUG 54233 KCTC 5967 JCM 15642 CF100

NCBI tax ID(s) 1298595 423477

Special Collections DSMZ CCUG JCM KCTC Literature strains

Links

Veillonella rogosae CF100 is an anaerobe, mesophilic, Gram-negative prokaryote that was isolated from dental plaque.

Gram-negative coccus-shaped anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 400356

JCM 15642,KCTC 5967,DSM 18960,CCUG 54233

@ref 20215

Last LPSN update 2025-12-16 09:51:01

Domain Bacillati

Phylum Bacillota

Class Negativicutes

Order Veillonellales

Family Veillonellaceae

Genus Veillonella

Species Veillonella rogosae

Full scientific name Veillonella rogosae Arif et al. 2008

Morphology

Cell morphology

@ref	Gram stain	Cell width	Cell shape
32187	negative	0.4 µm	coccus-shaped
67771
67771	negative
125438
125438	negative
125439	positive

Colony morphology

60114

Incubation period2 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
7805	PYG MEDIUM (MODIFIED) (DSMZ Medium 104)		Medium recipe at MediaDive	Name: PYG MEDIUM (modified) (DSMZ Medium 104) Composition: Yeast extract 10.0 g/l Peptone 5.0 g/l Trypticase peptone 5.0 g/l Beef extract 5.0 g/l Glucose 5.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l K2HPO4 0.04 g/l KH2PO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Hemin 0.005 g/l Ethanol 0.0038 g/l Resazurin 0.001 g/l Tween 80 Vitamin K1 NaOH Distilled water
7805	COLUMBIA BLOOD MEDIUM (DSMZ Medium 693)		Medium recipe at MediaDive	Name: COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) Composition: Defibrinated sheep blood 50.0 g/l Columbia agar base

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
7805	positive	growth	37	mesophilic
60114	positive	growth	37	mesophilic
67770	positive	growth	37	mesophilic
67771	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
7805	anaerobe
60114	anaerobe
67771	anaerobe
125439	microaerophile

Spore formation

@ref	Spore formation
32187
67771
125439

Observation

32187

Observationaggregates in chains

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68380	16024 ChEBI	D-mannose	-	fermentation	from API rID32A
68380	29985 ChEBI	L-glutamate	-	degradation	from API rID32A
32187	17632 ChEBI	nitrate	+	reduction
68380	17632 ChEBI	nitrate	+	reduction	from API rID32A
68380	16634 ChEBI	raffinose	-	fermentation	from API rID32A
68380	27897 ChEBI	tryptophan	-	energy source	from API rID32A
68380	16199 ChEBI	urea	-	hydrolysis	from API rID32A

Metabolite production

@ref	Chebi-ID	Metabolite	Production
68380	35581 ChEBI	indole		from API rID32A

Metabolite tests

@ref	Chebi-ID	Metabolite	Indole test
68380	35581 ChEBI	indole	-	from API rID32A

Enzymes

@ref	Value	Activity	Ec
68380	alanine arylamidase	-	3.4.11.2	from API rID32A
32187	alkaline phosphatase	+	3.1.3.1
68380	alpha-arabinosidase	-	3.2.1.55	from API rID32A
68380	alpha-fucosidase	-	3.2.1.51	from API rID32A
68380	alpha-galactosidase	-	3.2.1.22	from API rID32A
68380	alpha-glucosidase	-	3.2.1.20	from API rID32A
68380	beta-galactosidase	-	3.2.1.23	from API rID32A
68380	beta-Galactosidase 6-phosphate	-		from API rID32A
68380	beta-glucosidase	-	3.2.1.21	from API rID32A
68380	beta-glucuronidase	-	3.2.1.31	from API rID32A
68380	glutamate decarboxylase	-	4.1.1.15	from API rID32A
68380	glutamyl-glutamate arylamidase	-		from API rID32A
68380	glycin arylamidase	-		from API rID32A
68380	histidine arylamidase	-		from API rID32A
68380	L-arginine arylamidase	-		from API rID32A
68380	leucine arylamidase	-	3.4.11.1	from API rID32A
68380	leucyl glycin arylamidase	-	3.4.11.1	from API rID32A
68380	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API rID32A
68380	phenylalanine arylamidase	-		from API rID32A
68380	proline-arylamidase	-	3.4.11.5	from API rID32A
68380	serine arylamidase	-		from API rID32A
68380	tryptophan deaminase	-	4.1.99.1	from API rID32A
68380	tyrosine arylamidase	-		from API rID32A
68380	urease	-	3.5.1.5	from API rID32A

API rID32A

@ref	URE	ADH (Arg)	alpha GAL	beta GAL	beta-Galactosidase 6-phosphatebeta GP	alpha GLU	beta GLU	alpha ARA	beta GUR	beta-N-Acetyl-beta-glucosaminidasebeta NAG	MNE	RAF	GDC	alpha FUC	Reduction of nitrateNIT	IND	PAL	L-arginine arylamidaseArgA	ProA	LGA	Phenylalanine arylamidasePheA	Leucine arylamidaseLeuA	PyrA	Tyrosine arylamidaseTyrA	Alanine arylamidaseAlaA	Glycin arylamidaseGlyA	Histidine arylamidaseHisA	Glutamyl-glutamate arylamidaseGGA	Serine arylamidaseSerA
7805	-	+/-	-	-	-	-	-	-	-	-	-	-	-	-	+	-	+/-	-	-	-	-	-	+/-	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host Body-Site	#Oral cavity and airways	#Plaque

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
7805	dental plaque	United Kingdom	GBR	Europe
60114	Human supragingival plaque,caries free child	United Kingdom	GBR	Europe
67770	Supra-gingival plaque of children
67771	From dsupra-gingival plaque of a child	United Kingdom	GBR	Europe

Taxonmaps

69479

Global distribution of 16S sequence EF108443 (>99% sequence identity) for Veillonella from Microbeatlas

Aquatic Samples	6
Soil Samples
Animal Samples	756
Plant Samples
Total Samples	762

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
7805	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
67770	ASM295977v1 assembly for Veillonella rogosae JCM 15642	contig	GCA_002959775	1298595.6	1298595	76.9
67771	ASM131248v1 assembly for Veillonella rogosae JCM 15642	contig	GCA_001312485	1298595.4	1298595	37.91

Genome browser: GCA_002959775

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
7805	Veillonella rogosae strain CF100 16S ribosomal RNA gene, partial sequence	EF108443	1344		423477

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Veillonella rogosae JCM 15642
NCBI: GCA_002959775

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	93.50	no
125439	motility	BacteriaNetⓘ	no	84.90	no
125439	gram_stain	BacteriaNetⓘ	positive	93.60	no
125439	oxygen_tolerance	BacteriaNetⓘ	microaerophile	96.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Veillonella rogosae JCM 15642
PATRIC: 1298595.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	91.77	yes
125438	anaerobic	anaerobicⓘ	yes	82.53	no
125438	spore-forming	spore-formingⓘ	no	82.31	yes
125438	aerobic	aerobicⓘ	no	85.78	yes
125438	thermophilic	thermophileⓘ	no	93.61	yes
125438	flagellated	motile2+ⓘ	no	90.11	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Metabolism	Comparative Pan-Genome Analysis of Oral Veillonella Species.	Mashima I, Liao YC, Lin CH, Nakazawa F, Haase EM, Kiyoura Y, Scannapieco FA.	Microorganisms	10.3390/microorganisms9081775	2021
Phylogeny	Description of Veillonella absiana sp. nov., isolated from pig faeces.	Bai L, Paek J, Shin Y, Kim H, Kim SH, Shin JH, Kook JK, Chang YH.	Int J Syst Evol Microbiol	10.1099/ijsem.0.006643	2025
Phylogeny	Veillonella rogosae sp. nov., an anaerobic, Gram-negative coccus isolated from dental plaque.	Arif N, Do T, Byun R, Sheehy E, Clark D, Gilbert SC, Beighton D	Int J Syst Evol Microbiol	10.1099/ijs.0.65093-0	2008

References

#7805	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 18960
#20215	Parte, A.C., Sardà Carbasse, J., Meier-Kolthoff, J.P., Reimer, L.C. and Göker, M.: List of Prokaryotic names with Standing in Nomenclature (LPSN) moves to the DSMZ. IJSEM ( DOI 10.1099/ijsem.0.004332 )
#32187	Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #28429 (see below)
#60114	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 54233
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#67771	Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC;
#68380	Automatically annotated from API rID32A .
#69479	João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.: MicrobeAtlas 1.0 beta .
#125438	Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann: Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets. 2024 ( DOI 10.1101/2024.08.12.607695 )
#125439	Philipp Münch, René Mreches, Martin Binder, Hüseyin Anil Gündüz, Xiao-Yin To, Alice McHardy: deepG: Deep Learning for Genome Sequence Data. R package version 0.3.1 .
#126262	A. Lissin, I. Schober, J. F. Witte, H. Lüken, A. Podstawka, J. Koblitz, B. Bunk, P. Dawyndt, P. Vandamme, P. de Vos, J. Overmann, L. C. Reimer: StrainInfo—the central database for linked microbial strain identifiers. ( DOI 10.1093/database/baaf059 )

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Veillonella rogosae (DSM 18960, CCUG 54233, KCTC 5967)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

API rID32A

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_002959775

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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